Authoring Effective Embedded Tutors: An Overview of the Extensible Problem Specific Tutor (xPST) System

Gilbert, Stephen B.; Blessing, Stephen B.; Guo, Enruo

doi:10.1007/s40593-015-0045-0

Cited by 20 publications

(24 citation statements)

References 24 publications

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“…Architecture Extensible Problem-Specific Tutor (xPST) also empathizes on computer-based command and provides customized hints using the generation of the error message (Gilbert, Blessing, & Guo, 2015). The Lab4CE model has introduced the environment for computer training students who experience difficulty in networking subjects (Broisin, Venant, & Vidal, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Move to Smart Learning Environment: Exploratory Research of Challenges in Computer Laboratory and Design Intelligent Virtual Laboratory for eLearning Technology

Munawar

Toor

Aslam

et al. 2018

EURASIA J MATH SCI T

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The university's computer laboratory is currently one of the most challenging aspects when imparting practical tasks with regards to the education technology (ET) enhancement. This study intends to observe the issues confronted by students while performing tasks in the laboratory in different educational modes. The online survey is conducted using quantitative and qualitative research instruments to evaluate the students' perspectives. This exploratory work has emphasized the practical issues such as an insufficient time constraint, and instruments, geographical needs, financial concerns, and unavailability of subject specialists to cater for relevant issues about a particular course. The sample size was (N= 161) drawn from a stratified sampling method for analysis of four strata. This research addresses these problems in the laboratory with an aim to improve the student's practical skills as well as their investigation-based learning. It is needed for practical based courses, through experimentation with the help of artificial intelligence (AI) paradigms. The design science methodology is adopted, it presents the conception of an Intelligent Virtual Laboratory (IVL) based on pedagogical agent-based cognitive architecture (PACA). This IVL provides the level of excellence of laboratory needs by enhancing the ET which students can efficiently perform practical tasks online at anywhere. The results showed that IVL has a significant model for enhancing the learning to students and recommendations for further research implementation.

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Section: Literature Reviewmentioning

confidence: 99%

Move to Smart Learning Environment: Exploratory Research of Challenges in Computer Laboratory and Design Intelligent Virtual Laboratory for eLearning Technology

Munawar

Toor

Aslam

et al. 2018

EURASIA J MATH SCI T

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“…Tutor (xPST) system [7] is an authoring environment that enables non-programmers to create an ITS on top of an existing software application by providing instruction inside this application. 'Extensible' in the system's name refers to the plug-in architecture for connecting to di↵erent software applications.…”

Section: Model-tracing Tutors (Based On Procedures) the Extensible Pmentioning

confidence: 99%

“…Quite a few more papers discuss authoring tools for ITSs (e.g. [17,7,20]), but the former set specifically gives design principles for specifying the inner loop. The set of selected design principles is listed in Table 1.…”

Section: Introductionmentioning

confidence: 99%

An Extensible Domain-Specific Language for Describing Problem-Solving Procedures

Heeren

Jeuring

2017

Lecture Notes in Computer Science

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Abstract. An intelligent tutoring system (ITS) is often described as having an inner loop for supporting solving tasks step by step, and an outer loop for selecting tasks. Many task domains have problem-solving procedures that express how tasks can be solved by applying steps or rules in a controlled way. In this paper we collect established ITS design principles, and use the principles to compare and evaluate existing ITS paradigms with respect to the way problem-solving procedures are specified. We argue that problem-solving procedures need an explicit representation, which is missing in most ITSs. We present an extensible domain-specific language (DSL) that provides a rich vocabulary for accurately describing procedures. We give three examples of tutors from di↵erent task domains that illustrate our DSL approach and highlight important qualities such as modularity, extensibility, and reusability.

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“…Some crossdomain tools have been developed, such as GIFT and xPST (Blessing, Gilbert, Ourada, & Ritter, 2007;Gilbert, Blessing, & Guo, 2015).…”

Section: Authoring Tools For Intelligent Tutoring Systemsmentioning

confidence: 99%

StaticsTutor: Free Body Diagram Tutor for Problem Framing

Guo

Gilbert

Jackman

et al. 2014

Lecture Notes in Computer Science

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Authoring Effective Embedded Tutors: An Overview of the Extensible Problem Specific Tutor (xPST) System

Cited by 20 publications

References 24 publications

Move to Smart Learning Environment: Exploratory Research of Challenges in Computer Laboratory and Design Intelligent Virtual Laboratory for eLearning Technology

Move to Smart Learning Environment: Exploratory Research of Challenges in Computer Laboratory and Design Intelligent Virtual Laboratory for eLearning Technology

An Extensible Domain-Specific Language for Describing Problem-Solving Procedures

StaticsTutor: Free Body Diagram Tutor for Problem Framing

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